The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2240191 (up from 2152647 yesterday: 4.07 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "153822 (up from 143801 yesterday: 6.97 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.87



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 699706 31905 4.78 36773 3857 11.72 5.26
Spain 190839 5891 3.19 20002 687 3.56 10.48
Italy 172434 3493 2.07 22745 575 2.59 13.19
France 149130 2039 1.39 18703 762 4.25 12.54
Germany 141397 3699 2.69 4352 300 7.40 3.08
United Kingdom 109769 5624 5.40 14607 848 6.16 13.31
China 83760 357 0.43 4636 1290 38.55 5.53
Iran 79494 1499 1.92 4958 89 1.83 6.24
Turkey 78546 4353 5.87 1769 126 7.67 2.25
Belgium 36138 1329 3.82 5163 306 6.30 14.29
Brazil 33682 3257 10.71 2141 217 11.28 6.36
Canada 32814 2005 6.51 1355 97 7.71 4.13
Russia 32008 4070 14.57 273 41 17.67 0.85
Netherlands 30619 1236 4.21 3471 144 4.33 11.34
Switzerland 27078 346 1.29 1327 46 3.59 4.90
Portugal 19022 181 0.96 657 28 4.45 3.45
Austria 14595 119 0.82 431 21 5.12 2.95
India 14352 922 6.87 486 38 8.48 3.39
Ireland 13980 709 5.34 530 44 9.05 3.79
Peru 13489 998 7.99 300 26 9.49 2.22
Sweden 13216 676 5.39 1400 67 5.03 10.59
Israel 12982 224 1.76 151 9 6.34 1.16
Korea, South 10635 22 0.21 230 1 0.44 2.16
Japan 9787 1161 13.46 190 12 6.74 1.94
Chile 9252 445 5.05 116 11 10.48 1.25
Ecuador 8450 225 2.74 421 18 4.47 4.98
Poland 8379 461 5.82 332 18 5.73 3.96
Romania 8067 360 4.67 411 19 4.85 5.09
Denmark 7268 194 2.74 336 15 4.67 4.62
Saudi Arabia 7142 762 11.94 87 4 4.82 1.22
Pakistan 7025 106 1.53 135 7 5.47 1.92
Norway 6937 41 0.59 161 9 5.92 2.32
Czechia 6549 116 1.80 173 4 2.37 2.64
Australia 6522 60 0.93 66 3 4.76 1.01
United Arab Emirates 6302 477 8.19 37 2 5.71 0.59
Mexico 6297 450 7.70 486 37 8.24 7.72
Indonesia 5923 407 7.38 520 24 4.84 8.78
Philippines 5878 218 3.85 387 25 6.91 6.58
Serbia 5690 372 7.00 110 7 6.80 1.93
Malaysia 5251 69 1.33 86 2 2.38 1.64
Singapore 5050 623 14.07 11 1 10.00 0.22
Belarus 4779 575 13.68 42 2 5.00 0.88
Qatar 4663 560 13.65 7 0 0.00 0.15
Ukraine 4662 501 12.04 125 9 7.76 2.68
Dominican Republic 4126 371 9.88 200 4 2.04 4.85
Panama 4016 265 7.06 109 6 5.83 2.71
Finland 3489 120 3.56 82 7 9.33 2.35
Luxembourg 3480 36 1.05 72 3 4.35 2.07
Colombia 3439 206 6.37 153 9 6.25 4.45
Egypt 2844 171 6.40 205 9 4.59 7.21
South Africa 2783 178 6.83 50 2 4.17 1.80
Thailand 2700 28 1.05 47 1 2.17 1.74
Argentina 2669 98 3.81 123 8 6.96 4.61
Morocco 2564 281 12.31 135 5 3.85 5.27
Algeria 2418 150 6.61 364 16 4.60 15.05
Moldova 2264 110 5.11 56 2 3.70 2.47
Greece 2224 17 0.77 108 3 2.86 4.86
Bangladesh 1838 266 16.92 75 15 25.00 4.08
Croatia 1814 23 1.28 36 1 2.86 1.98
Hungary 1763 111 6.72 156 14 9.86 8.85
Iceland 1754 15 0.86 9 1 12.50 0.51
Bahrain 1740 40 2.35 7 0 0.00 0.40
Kuwait 1658 134 8.79 5 2 66.67 0.30
Kazakhstan 1546 144 10.27 17 0 0.00 1.10
Iraq 1482 48 3.35 81 1 1.25 5.47
Estonia 1459 25 1.74 38 2 5.56 2.60
New Zealand 1409 8 0.57 11 2 22.22 0.78
Uzbekistan 1405 56 4.15 4 0 0.00 0.28
Azerbaijan 1340 57 4.44 15 0 0.00 1.12
Slovenia 1304 36 2.84 66 5 8.20 5.06
Bosnia and Herzegovina 1214 47 4.03 46 3 6.98 3.79
Armenia 1201 42 3.62 19 1 5.56 1.58
Lithuania 1149 21 1.86 33 1 3.12 2.87
North Macedonia 1117 36 3.33 49 3 6.52 4.39
Oman 1069 50 4.91 6 2 50.00 0.56
Slovakia 1049 72 7.37 9 1 12.50 0.86

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 230597 6906 3.09 17131 2299 15.50 7.43 11853.72 880.61 1 in 84
New Jersey 78467 3150 4.18 3840 322 9.15 4.89 8834.20 432.33 1 in 113
Massachusetts 34402 2221 6.90 1245 137 12.36 3.62 4950.28 179.15 1 in 202
Michigan 30023 1214 4.21 2227 231 11.57 7.42 3006.25 222.99 1 in 333
Pennsylvania 29888 1630 5.77 921 80 9.51 3.08 2334.64 71.94 1 in 428
California 29157 1480 5.35 1037 81 8.47 3.56 737.92 26.25 1 in 1355
Illinois 27578 1844 7.17 1132 60 5.60 4.10 2176.32 89.33 1 in 459
Florida 24759 1416 6.07 725 57 8.53 2.93 1152.78 33.76 1 in 867
Louisiana 23118 586 2.60 1213 57 4.93 5.25 4972.90 260.93 1 in 201
Texas 17849 973 5.77 451 37 8.94 2.53 615.57 15.55 1 in 1625
Georgia 17194 1525 9.73 650 63 10.73 3.78 1619.41 61.22 1 in 618
Connecticut 16809 925 5.82 1036 65 6.69 6.16 4714.63 290.58 1 in 212
Maryland 11572 788 7.31 334 15 4.70 2.89 1914.09 55.25 1 in 522
Washington 11517 460 4.16 603 24 4.15 5.24 1512.43 79.19 1 in 661
Indiana 10154 612 6.41 522 45 9.43 5.14 1508.27 77.54 1 in 663
Ohio 9107 693 8.24 418 11 2.70 4.59 779.10 35.76 1 in 1284
Colorado 8691 405 4.89 372 17 4.79 4.28 1509.19 64.60 1 in 663
Virginia 7491 602 8.74 231 23 11.06 3.08 877.63 27.06 1 in 1139
Tennessee 6263 -112 -1.76 141 5 3.68 2.25 916.56 20.63 1 in 1091
North Carolina 6045 406 7.20 177 27 18.00 2.93 576.37 16.88 1 in 1735
Missouri 5371 197 3.81 184 15 8.88 3.43 875.12 29.98 1 in 1143
Alabama 4571 226 5.20 148 15 11.28 3.24 932.25 30.18 1 in 1073
Arizona 4511 274 6.47 169 19 12.67 3.75 592.39 22.19 1 in 1688
Rhode Island 4177 648 18.36 118 31 35.63 2.82 3942.94 111.39 1 in 254
South Carolina 4099 168 4.27 116 5 4.50 2.83 796.12 22.53 1 in 1256
Wisconsin 4053 178 4.59 206 9 4.57 5.08 696.10 35.38 1 in 1437
Mississippi 3793 169 4.66 140 11 8.53 3.69 1274.47 47.04 1 in 785
Nevada 3524 310 9.65 142 5 3.65 4.03 1144.10 46.10 1 in 874
Utah 2793 110 4.10 23 3 15.00 0.82 871.19 7.17 1 in 1148
Kentucky 2522 87 3.57 137 8 6.20 5.43 564.50 30.66 1 in 1771
District of Columbia 2476 126 5.36 86 5 6.17 3.47 3508.33 121.86 1 in 285
Oklahoma 2465 108 4.58 136 5 3.82 5.52 622.95 34.37 1 in 1605
Iowa 2332 191 8.92 64 4 6.67 2.74 739.13 20.28 1 in 1353
Delaware 2317 247 11.93 61 6 10.91 2.63 2379.43 62.64 1 in 420
Minnesota 2070 261 14.43 111 24 27.59 5.36 367.05 19.68 1 in 2724
Oregon 1785 49 2.82 70 6 9.38 3.92 423.21 16.60 1 in 2363
Kansas 1730 115 7.12 82 2 2.50 4.74 593.83 28.15 1 in 1684
Arkansas 1695 75 4.63 37 0 0.00 2.18 561.66 12.26 1 in 1780
Idaho 1609 22 1.39 41 0 0.00 2.55 897.85 22.88 1 in 1114
New Mexico 1597 113 7.61 44 8 22.22 2.76 761.63 20.98 1 in 1313
South Dakota 1411 100 7.63 7 0 0.00 0.50 1594.96 7.91 1 in 627
New Hampshire 1287 148 12.99 37 5 15.62 2.87 946.52 27.21 1 in 1056
Puerto Rico 1068 25 2.40 58 2 3.57 5.43 334.41 18.16 1 in 2990
Nebraska 1066 114 11.97 24 3 14.29 2.25 551.07 12.41 1 in 1815
Maine 827 31 3.89 29 2 7.41 3.51 615.23 21.57 1 in 1625
Vermont 779 5 0.65 35 2 6.06 4.49 1248.42 56.09 1 in 801
West Virginia 775 47 6.46 16 4 33.33 2.06 433.65 8.95 1 in 2306
Hawaii 541 11 2.08 9 0 0.00 1.66 382.10 6.36 1 in 2617
Montana 422 7 1.69 8 1 14.29 1.90 394.84 7.49 1 in 2533
North Dakota 393 0 0.00 9 0 0.00 2.29 515.71 11.81 1 in 1939
Alaska 309 9 3.00 9 0 0.00 2.91 422.39 12.30 1 in 2367
Wyoming 305 9 3.04 2 0 0.00 0.66 526.99 3.46 1 in 1898

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 243513 64135 1041 1.65 26.34 10627 971 33434 11851 18.48
Emilia-Romagna 116826 21834 348 1.62 18.69 3330 309 13585 2903 13.30
Piemonte 86714 19803 695 3.64 22.84 3266 333 13998 2171 10.96
Veneto 236722 15374 384 2.56 6.49 1359 197 10618 1026 6.67
Toscana 96231 8110 167 2.10 8.43 898 207 6583 602 7.42
Liguria 28181 6188 149 2.47 21.96 897 105 3459 866 13.99
Marche 37997 5668 86 1.54 14.92 839 94 3157 785 13.85
Lazio 84755 5524 144 2.68 6.52 1332 187 4214 332 6.01
Campania 43697 3951 64 1.65 9.04 622 76 3027 293 7.42
P.A. Trento 21921 3376 82 2.49 15.40 286 44 1990 342 10.13
Puglia 38278 3327 69 2.12 8.69 590 62 2656 307 9.23
Friuli Venezia Giulia 40030 2675 59 2.26 6.68 148 23 1428 220 8.22
Sicilia 45172 2625 46 1.78 5.81 521 46 2139 190 7.24
Abruzzo 25436 2443 97 4.13 9.60 319 43 1942 246 10.07
P.A. Bolzano 27698 2296 29 1.28 8.29 181 32 1582 234 10.19
Umbria 22818 1337 8 0.60 5.86 111 31 494 57 4.26
Sardegna 13304 1178 14 1.20 8.85 113 23 872 86 7.30
Valle d’Aosta 4366 993 22 2.27 22.74 108 9 491 123 12.39
Calabria 21657 991 -18 -1.78 4.58 154 7 819 73 7.37
Basilicata 5710 337 1 0.30 5.90 59 9 266 22 6.53
Molise 3082 269 6 2.28 8.73 26 4 208 16 5.95

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 16798 941 5.93 688 58 9.21 4.10 1967.51 80.58 1 in 508
Ontario 10456 616 6.26 524 34 6.94 5.01 710.72 35.62 1 in 1407
Alberta 2397 401 20.09 50 2 4.17 2.09 543.15 11.33 1 in 1841
British Columbia 1575 14 0.90 77 2 2.67 4.89 308.16 15.07 1 in 3245
Nova Scotia 606 27 4.66 4 1 33.33 0.66 619.98 4.09 1 in 1613
Saskatchewan 307 2 0.66 4 0 0.00 1.30 259.80 3.39 1 in 3849
Newfoundland and Labrador 256 4 1.59 3 0 0.00 1.17 491.02 5.75 1 in 2037
Manitoba 250 0 0.00 5 0 0.00 2.00 181.49 3.63 1 in 5510
New Brunswick 117 0 0.00 0 0 NaN 0.00 150.00 0.00 1 in 6667
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 8 0 0.00 0 0 NaN 0.00 194.75 0.00 1 in 5135
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1577 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1021 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 872 13 1.49
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 628 7 1.11
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 560 3 0.54
Fujian 354 1 0.28
Hebei 328 6 1.83
Shaanxi 256 3 1.17
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 193 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 146 2 1.37
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 102 1 0.98
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2138.47 112.39 1 in 468
Spain 4089.99 428.68 1 in 244
Italy 2851.09 376.07 1 in 351
France 2226.15 279.19 1 in 449
Germany 1707.90 52.57 1 in 586
United Kingdom 1652.15 219.85 1 in 605
China 60.43 3.34 1 in 16547
Iran 979.47 61.09 1 in 1021
Turkey 971.98 21.89 1 in 1029
Belgium 3170.00 452.89 1 in 315
Brazil 160.93 10.23 1 in 6214
Canada 872.94 36.05 1 in 1146
Russia 221.51 1.89 1 in 4514
Netherlands 1782.25 202.04 1 in 561
Switzerland 3159.63 154.84 1 in 316
Portugal 1848.59 63.85 1 in 541
Austria 1654.39 48.86 1 in 604
India 10.72 0.36 1 in 93297
Ireland 2894.41 109.73 1 in 345
Peru 419.30 9.33 1 in 2385

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 127352 13202 10.37
Nassau New York 28539 1109 3.89
Suffolk New York 25035 693 2.77
Westchester New York 22476 668 2.97
Cook Illinois 19391 760 3.92
Wayne Michigan 13233 1044 7.89
Bergen New Jersey 11863 714 6.02
Los Angeles California 11400 497 4.36
Essex New Jersey 9672 684 7.07
Hudson New Jersey 9636 420 4.36
Rockland New York 8987 319 3.55
Miami-Dade Florida 8824 195 2.21
Philadelphia Pennsylvania 8563 298 3.48
Union New Jersey 8429 330 3.92
Middlesex Massachusetts 7744 258 3.33
Passaic New Jersey 7604 221 2.91
Middlesex New Jersey 7308 309 4.23
Suffolk Massachusetts 7272 164 2.26
Fairfield Connecticut 7146 425 5.95
Orange New York 6514 204 3.13
Orleans Louisiana 5906 317 5.37
Oakland Michigan 5901 442 7.49
Jefferson Louisiana 5476 269 4.91
King Washington 4902 331 6.75
Essex Massachusetts 4584 159 3.47
New Haven Connecticut 4520 229 5.07
Harris Texas 4460 67 1.50
Ocean New Jersey 4424 201 4.54
Monmouth New Jersey 4414 206 4.67
Macomb Michigan 4145 373 9.00
Morris New Jersey 3822 232 6.07
Broward Florida 3688 107 2.90
Marion Indiana 3518 182 5.17
Norfolk Massachusetts 3499 173 4.94
Hartford Connecticut 3015 266 8.82
Prince George’s Maryland 2966 77 2.60
Worcester Massachusetts 2765 84 3.04
Clark Nevada 2738 124 4.53
Providence Rhode Island 2703 3 0.11
Montgomery Pennsylvania 2684 97 3.61
Plymouth Massachusetts 2577 93 3.61
District of Columbia District of Columbia 2476 86 3.47
Riverside California 2457 69 2.81
Maricopa Arizona 2404 69 2.87
Montgomery Maryland 2280 63 2.76
Delaware Pennsylvania 2226 73 3.28
Somerset New Jersey 2195 135 6.15
Dallas Texas 2190 55 2.51
Dutchess New York 2142 19 0.89
Hampden Massachusetts 2134 161 7.54

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources: CSSEGISandData, COVID India Org, The NY Times and pcm-dpc